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Non-contact life sign monitoring system

A vital sign and monitoring system technology, applied in the field of radar, can solve problems such as restricting the application range and inconvenient post-processing of vital sign information, and achieve the effect of improving reliability and accuracy

Inactive Publication Date: 2015-05-27
耿希华
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These methods all require direct or indirect contact with the human body, which greatly restricts their scope of application. Moreover, the contact of the instrument with the body also has a certain impact on the accuracy of vital sign information detection, and at the same time, it also brings great harm to the post-processing of vital sign information. a lot of inconvenience

Method used

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Experimental program
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Embodiment 1

[0035] Embodiment 1 uses the LMS algorithm: at the initial stage of the original input of the vital sign signal, adaptive filtering starts, the autocorrelation estimation error is large, and the step size μ(n) (learning rate) is also relatively large. Then search along the negative direction of the gradient estimation of the weight value. When the weight coefficient is getting closer to the optimal weight coefficient (reference value of the vital sign signal), the error of the autocorrelation coefficient is also getting smaller and closer to zero, step by step. The length is also getting smaller and smaller. Due to the large initial value of μ(n), rapid convergence occurs, and at the same time, due to the small value of μ(n) in the later stage, a small steady-state disorder occurs near the optimal value, making the final sign data more accurate.

Embodiment 2

[0036] Embodiment 2 adopts the RLS algorithm: in conjunction with the attached image 3 , the body surface micro-movement signal caused by respiration and heartbeat is selected as the original input signal U(n), and the simulated vital sign signal is used as the reference signal d(n). Design a transversal filter with a time-varying tap weight vector W(n), and adjust the tap weight vector of the filter according to the principle of the minimum weighted square sum of the error signal ε(n) between the output signal of the filter and the reference signal , through the recursive iterative operation, the filter output is the best output that satisfies the principle of the algorithm, which is the vital sign signal to be extracted.

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Abstract

The invention discloses a non-contact life sign monitoring system. Continuous wave radar is mainly adopted to detect a life sign signal of a human body. According to the system, firstly continuous wave of a fixed frequency is emitted to a to-be-detected life body by a radar signal emission unit, secondly multiple paths of generated orthogonal life sign signals are collected by an analog receiving unit, then a digital down-conversion unit is used for extracting a useful signal in high and medium frequency signals, the signal is divided into multiple paths by orthogonal demodulation, finally information of multiple paths of baseband signals is extracted through a digital signal processing unit, each path of life sign signal is separated by using an adaptive filter, and frequency extraction of the signal is performed by using fourier transform. The system is convenient to use and accurate in measurement, and has good anti-interference capacity; high-precision life sign data can be acquired without touching the life body during use, so convenience is brought to related personnel to accurately and continuously master the life sign situation of a tested person in real time.

Description

technical field [0001] The invention belongs to the field of radar, in particular to a non-contact vital sign monitoring system. Background technique [0002] Heartbeat, respiration, blood pressure, etc. are the basic vital sign information parameters of the human body. The changes in these sign parameters directly reflect the health of the human body, and the abnormality of the sign parameters is also one of the causes of medical emergencies. The real-time monitoring and mastering of sign information has very important practical value. At present, clinically, the vital parameter signals of the human body are obtained in real time mainly by measuring electrodes attached to the human body and contact sensors. The main detection methods are: volumetric respiration measurement method, velocity respiration measurement method, etc. These methods all require direct or indirect contact with the human body, which greatly restricts their scope of application. Moreover, the contact o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0205
CPCA61B5/0205A61B5/0093
Inventor 耿希华
Owner 耿希华
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